A team led by Hui Wang at the FAMU-FSU College of Engineering will use AI to create tools that help find defects in powder-based 3D printing. A challenge in powder-based fabrication is understanding how the material becomes filled with tiny holes, a common defect resulting from powder spread and powder-droplet interactions.
The researchers will use combinatorial generalization to empower the AI to make inferences based on scenarios from multiple data sources. They expect their work to expedite the development of new manufacturing processes and materials. The technology could also “democratize” manufacturing, says Wang, “making it easier for inexperienced manufacturers to advance from lab testing to large-scale production.”
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